FIT3094 Artificial life, artificial intelligence and virtual environments
Faculty of Information Technology
FIT3094 Artificial life, artificial intelligence and virtual environments is a level 3, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2020 in Semester 1 at Clayton. It has no prerequisites.
- Credit points
- 6
- Offered in 2020
- Semester 1
- Clayton
- Workload
- 12 hours
- per semester
This is the 2020 handbook entry. See the 2024 entry.
Reviews
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Requisites
Before FIT3094
No prerequisites or corequisites besides the enrolment rules below.
After FIT3094
No unit lists FIT3094 as a prerequisite in the 2020 handbook.
Enrolment rules
Prerequisites: FIT2049 or FIT2096
Overview
This unit introduces topics in Artificial Intelligence (AI) suited to real-time simulation and computer games development. Using a practice-based and programming-led approach, the unit explores a number of fundamental concepts, techniques and algorithms that can be used to build real-time, interactive games, virtual environments and simulations. Starting with basic concepts in 2D discrete simulation, the unit progresses to continuous, 3D models, agent simulation, bio-inspired intelligence models and search algorithms. Programs are developed using the Processing environment in Java or C++.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
| First semester (Fully flex) | Clayton | Flexible |
Learning outcomes
When you finish this unit, you should be able to:
- 1
Select, evaluate and apply AI software techniques to model simple intelligent behaviour in 2D discrete simulations and games;
- 2
Select, evaluate and apply AI software techniques to model simple intelligent behaviour in 3D continuous simulations and games;
- 3
Apply evolutionary algorithms to devise novel agents and understand their application, and that of other search algorithms, to problems requiring the search of a solution space;
- 4
Apply methods of embodied intelligence and physicality to the development of intelligent behaviour in physical artefacts;
- 5
Apply - through practice-based learning - design, development, execution and validation of real-time interactive software using AI techniques.
Workload and teaching
Minimum total expected workload equals 12 hours per week comprising:
(a.) Contact hours for on-campus students:
- two hours of lectures
- One 2-hour studio
(b.) Additional requirements (all students):
- A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.
Where it fits
FIT3094 is part of 5 areas of study in the 2020 handbook.
- COMPSCI03Additional computer science unitsAdvanced computer scienceNo reviews yet
- COMPUSC07Additional computational science unitsComputational scienceNo reviews yet
- GAMESDEV01Core unitsGames developmentNo reviews yet
- GAMESDEV02Additional games development unitsGames developmentNo reviews yet
- SFTWRENG01Software engineering technical electivesSoftware engineeringNo reviews yet
Contacts
- Chief Examiners
- Mr Matthew Butler
Common questions
What are the prerequisites for FIT3094?
FIT3094 has no prerequisites, but enrolment rules apply.
When is FIT3094 offered?
In 2020, FIT3094 runs in Semester 1 at Clayton.
How much work is FIT3094?
The handbook expects about 12 hours of study across the semester. No students have rated its difficulty yet.
Which majors and minors include FIT3094?
FIT3094 is part of Advanced computer science, Computational science, Games development and Software engineering.